Store MCP Server

A Model Context Protocol (MCP) server that enables AI agents to store and retrieve information persistently.

Project Structure

store_mcp/ ├── README.md # This file ├── pyproject.toml # Project dependencies and configuration ├── src/ │ └── store_mcp/ │ ├── __init__.py # Package initialization │ ├── server.py # Main MCP server implementation │ └── storage.py # Storage backend (JSON/SQLite) └── tests/ ├── __init__.py └── test_server.py # Unit tests

Features

Store Information: Save key-value pairs or structured data
Retrieve Information: Query stored data by key or search criteria
List Keys: View all available stored keys
Delete Information: Remove stored data when no longer needed
Persistent Storage: Data persists across sessions

Installation

# Install dependencies pip install -e .

Usage

# Run the MCP server python -m store_mcp.server

MCP Tools

The server exposes the following tools to AI agents:

store_data: Store information with a key
retrieve_data: Retrieve information by key
list_keys: List all stored keys
delete_data: Delete stored information by key
search_data: Search stored information by pattern or content

Configuration

MCP Client Configuration

To use this server with an MCP client (like Claude Desktop), add it to your MCP settings configuration file:

For Claude Desktop on MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

For Claude Desktop on Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "store": { "command": "python", "args": [ "-m", "store_mcp.server" ], "env": { "PYTHONPATH": "/absolute/path/to/store_mcp/src" } } } }

Alternative using uvx (if installed via pip):

{ "mcpServers": { "store": { "command": "uvx", "args": [ "--from", "/absolute/path/to/store_mcp", "python", "-m", "store_mcp.server" ] } } }

Storage Configuration

The server uses a local file-based storage system (JSON) located at:

Default: ~/.store_mcp/data.json

To use a custom storage location, modify server.py and initialize Storage with a custom path:

storage = Storage("/path/to/custom/data.json")

Environment Variables

You can set the following environment variables:

STORE_MCP_PATH: Custom path for the storage file (default: ~/.store_mcp/data.json)

Example configuration with custom storage path:

{ "mcpServers": { "store": { "command": "python", "args": ["-m", "store_mcp.server"], "env": { "PYTHONPATH": "/absolute/path/to/store_mcp/src", "STORE_MCP_PATH": "/custom/path/to/storage.json" } } } }

Development

# Run tests pytest tests/

Requirements

Python 3.10+
mcp library

This server cannot be installed

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security - not tested

F

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quality - not tested

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Related Resources

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Store MCP Server

Store MCP Server

Project Structure

Features

Installation

Usage

MCP Tools

Configuration

MCP Client Configuration

Storage Configuration

Environment Variables

Development

Requirements

Related Resources

New MCP Servers

MCP directory API